The nature of regional unemployment in Italy

Taking as a starting point the evidence of growing disparities for most of the 1984–2007 period, this article investigates the nature of regional unemployment in Italy. In particular, we assess whether the Italian regional unemployment rates contain a unit root and are, thus, subject to pure hysteresis, considering as alternative hypotheses both a linear and a non-linear stationary process. For that purpose, we employ three recently developed panel unit-root tests, taking account of structural breaks, cross-section dependence and non-linearities. Contrary to previous studies in the literature, our results reject the pure hysteresis hypothesis and support the characterisation of regional unemployment in Italy as a stationary but non-linear process, subject to multiple equilibria, in line with the ‘structuralist hypothesis’ advanced by Phelps (1994).     

Forecasting and turning point predictions in a Bayesian panel VAR model

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model, which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for hierarchical and for Minnesota-type priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.     

Hedging Housing Risk in London

This paper investigates the benefits of allowing households to compensate the portfolio distortion due to their housing consumption through investments in housing price derivatives. Focusing on the London market, we show that a major loss from over-investment in housing is that households are forced to hold a very risky portfolio. However, the strong performance of the London housing market means that little is lost in terms of expected returns. Even households with limited wealth are better off owning their home rather than renting and investing in financial assets, as long as they are willing to face the financial risk involved. In this context, access to housing price derivatives would benefit most poor homeowners looking to limit their risk exposure. It would also benefit wealthier investors looking for the high returns provided by housing investments without the costs of direct ownership of properties. Comparisons with French, Swedish and U.S. data provide a broader perspective on our findings.     

TAKEOVER EXPOSURE, AGENCY, AND THE CHOICE BETWEEN PRIVATE AND PUBLIC DEBT

We examine how governance characteristics are related to the corporate choice between public and private debt. We find that firms with fewer takeover defenses and larger outside blockholder ownership are more likely to borrow from banks and to issue 144A debt. We also document that public debt cost is more sensitive to takeover exposure than bank debt cost. These results are consistent with the hypothesis that banks mitigate the expected negative effect of takeovers on debt value through covenants and debt renegotiations. Moreover, we show that firms with weaker internal monitoring are less likely to borrow from banks.     

EXPERIMENTAL AND SELF‐REPORTED MEASURES OF RISK TAKING AND DIGIT RATIO (2D:4D): EVIDENCE FROM A LARGE,SYSTEMATIC STUDY

We systematically investigate the links between the digit ratio (2D:4D)—a biomarker for prenatal testosterone exposure—and two measures of individual risk taking: (i) risk preferences (RP) over lotteries with real monetary incentives and (ii) self‐reported risk attitude (RA). We find that both the right‐hand and the left‐hand digit ratio are significantly associated with RP: Subjects with lower digit ratios tend to choose riskier lotteries. Neither digit ratio, however, is associated with self‐reported RA.     

Analyzing online reviews in hospitality: data-driven opportunities for predicting the sharing of negative emotional content

Hospitality is one of the sectors that are nowadays most heavily characterized by consumers’ tendency to share online reviews on dedicated digital platforms. While most past work has focused on understanding the effect of online reviews and ratings on consumers’ evaluation and purchase decisions, this research tackles the issue of what drives the sharing of certain types of online content. Specifically, we investigate the sharing of user-generated content characterized by negative emotional valence, and study the effect of two factors on the extent to which user-generated content contains negative emotions. One such factor is reviewer's expertise, while the other is hotel quality. Our analysis of 1200 TripAdvisor reviews on Italian hotels located in three major Italian cities confirm our hypothesis that expert reviewers might share reviews containing less intense negative emotional content compared to less expert reviewers especially when the hotel is of high quality. To support our hypothesis, we build on the research on psychological antecedents of word-of-mouth behaviour suggesting that expert consumers are particularly reluctant to share negative word-of-mouth to avoid projecting a negative image of themselves in social contexts, thus possibly damaging their reputation.     

State-owned banks in the market for corporate control

We study the pre-deal characteristics of state-owned banks acquiring other companies, relative to their private counterparts. We build a unique international data-set of 3682 deals in the years 2003–2013. Econometric results highlight that those state-owned banks that are acting as acquirers have an ex-ante performance similar to their private benchmarks. The results are driven by the role of development banks. This new finding points to the recent evolution of some types of contemporary state-owned financial players.